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Copy file name to clipboardExpand all lines: README.md
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Choosing a particular backend can be done using `af.set_backend(name)` where name is either "_cuda_", "_opencl_", or "_cpu_". The default device is chosen in the same order of preference.
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## Getting started
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ArrayFire can be installed from a variety of sources. [Pre-built wheels](https://repo.arrayfire.com/python/wheels/3.8.0/) are available for a number of systems and toolkits. Wheels for some systems are available on PyPI. Unsupported systems will require separate installation of the ArrayFire C/C++ libraries and only the python wrapper will be installed in that case.
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ArrayFire can be installed from a variety of sources. [Pre-built wheels](https://repo.arrayfire.com/python/wheels/3.8.0/) are available for a number of systems and toolkits. These will include a distribution of the ArrayFire libraries. Currently, only the python wrapper is available on PyPI. Wrapper-only installations will require a separate installation of the ArrayFire C/C++ libraries.
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You can get the ArrayFire C/C++ library from the following sources:
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-[Download and install binaries](https://arrayfire.com/download)
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-[Build and install from source](https://github.com/arrayfire/arrayfire)
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**Install the last stable version:**
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**Install the last stable version of python wrapper:**
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